The recent progression of Large Language Models (LLMs) has witnessed great success in
the fields of data-centric applications. LLMs trained on massive textual datasets showed …

The rapid evolution of modern automobiles into intelligent and interconnected entities
presents new challenges in cybersecurity, particularly in Intrusion Detection Systems (IDS) …

The field of Natural Language Processing (NLP) is currently undergoing a revolutionary
transformation driven by the power of pre-trained Large Language Models (LLMs) based on …

Natural Language Processing (NLP) domain is experiencing a revolution due to the
capabilities of Pre-trained Large Language Models (LLMs), fueled by ground-breaking …

With significant advancements in Transformers LLMs, NLP has extended its reach into many
research fields due to its enhanced capabilities in text generation and user interaction. One …

As cyber threats continue to evolve, ensuring network security has become increasingly
critical. Deep learning-based intrusion detection systems (IDS) are crucial for addressing …

The traditional vehicular ad hoc network (VANET) gradually evolved into the internet of
vehicles (IoV), which has also become a potential target for attacks and faces security …

In this paper, we delve into the transformative role of pre-trained language models (PLMs) in
cybersecurity, offering a comprehensive examination of their deployment across a wide …

Large Language Models (LLMs) have revolutionised natural language processing tasks,
particularly as chat agents. However, their applicability to threat detection problems remains …

With the rapid advancement of vehicle connectivity and intelligent technologies, an
increasing number of vehicles are now connected to the Internet. However, these connected …